docker.io/jockerdragon/matlab-r2023b-cuda-12.2-cudnn8:latest linux/amd64

docker.io/jockerdragon/matlab-r2023b-cuda-12.2-cudnn8:latest - 国内下载镜像源浏览次数:55

```html

这是一个包含MathWorks MATLAB R2023b版本，以及CUDA 12.2和cuDNN 8库的Docker镜像。

```

源镜像	docker.io/jockerdragon/matlab-r2023b-cuda-12.2-cudnn8:latest
国内镜像	swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/jockerdragon/matlab-r2023b-cuda-12.2-cudnn8:latest
镜像ID	sha256:0e33e8cb4f52783ccdfebafacea6f00af56478e3400378134eb085e4c220e687
镜像TAG	latest
大小	14.75GB
镜像源	docker.io
项目信息	Docker-Hub主页 🚀项目TAG 🚀
CMD
启动入口	/bin/run.sh
工作目录	/home/matlab/Documents/MATLAB/
OS/平台	linux/amd64
浏览量	55 次
贡献者
镜像创建	2024-06-07T21:25:06.615774654+08:00
同步时间	2024-12-19 00:23
更新时间	2025-02-05 18:12

开放端口

5901/tcp 6080/tcp 8888/tcp

环境变量

PATH=/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin DEBIAN_FRONTEND=noninteractive TZ=Etc/UTC MW_MLSERVICES_MODE=dev MW_MLSERVICES_DEV_REALM_ID=companion@prod@production MW_MLSERVICES_ROOT=/opt/MathWorks/ServiceHost MWI_APP_PORT=8888 MW_DDUX_FORCE_ENABLE=true MW_CONTEXT_TAGS=MATLAB:DOCKERHUB:V1 MHLM_CONTEXT=MATLAB_DOCKERHUB NVARCH=x86_64 NVIDIA_REQUIRE_CUDA=cuda>=12.2 brand=tesla,driver>=470,driver<471 brand=unknown,driver>=470,driver<471 brand=nvidia,driver>=470,driver<471 brand=nvidiartx,driver>=470,driver<471 brand=geforce,driver>=470,driver<471 brand=geforcertx,driver>=470,driver<471 brand=quadro,driver>=470,driver<471 brand=quadrortx,driver>=470,driver<471 brand=titan,driver>=470,driver<471 brand=titanrtx,driver>=470,driver<471 brand=tesla,driver>=525,driver<526 brand=unknown,driver>=525,driver<526 brand=nvidia,driver>=525,driver<526 brand=nvidiartx,driver>=525,driver<526 brand=geforce,driver>=525,driver<526 brand=geforcertx,driver>=525,driver<526 brand=quadro,driver>=525,driver<526 brand=quadrortx,driver>=525,driver<526 brand=titan,driver>=525,driver<526 brand=titanrtx,driver>=525,driver<526 NV_CUDA_CUDART_VERSION=12.2.140-1 NV_CUDA_COMPAT_PACKAGE=cuda-compat-12-2 CUDA_VERSION=12.2.2 LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64 NVIDIA_VISIBLE_DEVICES=all NVIDIA_DRIVER_CAPABILITIES=compute,utility NV_CUDA_LIB_VERSION=12.2.2-1 NV_NVTX_VERSION=12.2.140-1 NV_LIBNPP_VERSION=12.2.1.4-1 NV_LIBNPP_PACKAGE=libnpp-12-2=12.2.1.4-1 NV_LIBCUSPARSE_VERSION=12.1.2.141-1 NV_LIBCUBLAS_PACKAGE_NAME=libcublas-12-2 NV_LIBCUBLAS_VERSION=12.2.5.6-1 NV_LIBCUBLAS_PACKAGE=libcublas-12-2=12.2.5.6-1 NV_LIBNCCL_PACKAGE_NAME=libnccl2 NV_LIBNCCL_PACKAGE_VERSION=2.19.3-1 NCCL_VERSION=2.19.3-1 NV_LIBNCCL_PACKAGE=libnccl2=2.19.3-1+cuda12.2 NVIDIA_PRODUCT_NAME=CUDA NV_CUDA_CUDART_DEV_VERSION=12.2.140-1 NV_NVML_DEV_VERSION=12.2.140-1 NV_LIBCUSPARSE_DEV_VERSION=12.1.2.141-1 NV_LIBNPP_DEV_VERSION=12.2.1.4-1 NV_LIBNPP_DEV_PACKAGE=libnpp-dev-12-2=12.2.1.4-1 NV_LIBCUBLAS_DEV_VERSION=12.2.5.6-1 NV_LIBCUBLAS_DEV_PACKAGE_NAME=libcublas-dev-12-2 NV_LIBCUBLAS_DEV_PACKAGE=libcublas-dev-12-2=12.2.5.6-1 NV_CUDA_NSIGHT_COMPUTE_VERSION=12.2.2-1 NV_CUDA_NSIGHT_COMPUTE_DEV_PACKAGE=cuda-nsight-compute-12-2=12.2.2-1 NV_NVPROF_VERSION=12.2.142-1 NV_NVPROF_DEV_PACKAGE=cuda-nvprof-12-2=12.2.142-1 NV_LIBNCCL_DEV_PACKAGE_NAME=libnccl-dev NV_LIBNCCL_DEV_PACKAGE_VERSION=2.19.3-1 NV_LIBNCCL_DEV_PACKAGE=libnccl-dev=2.19.3-1+cuda12.2 LIBRARY_PATH=/usr/local/cuda/lib64/stubs NV_CUDNN_VERSION=8.9.6.50 NV_CUDNN_PACKAGE_NAME=libcudnn8 NV_CUDNN_PACKAGE=libcudnn8=8.9.6.50-1+cuda12.2 NV_CUDNN_PACKAGE_DEV=libcudnn8-dev=8.9.6.50-1+cuda12.2

镜像标签

8.9.6.50: com.nvidia.cudnn.version NVIDIA CORPORATION <cudatools@nvidia.com>: maintainer ubuntu: org.opencontainers.image.ref.name 22.04: org.opencontainers.image.version

镜像安全扫描查看Trivy扫描报告

系统OS: ubuntu 22.04 扫描引擎: Trivy 扫描时间: 2024-12-19 00:29

低危漏洞:275

中危漏洞:2014

高危漏洞:73

严重漏洞:4

docker.io/jockerdragon/matlab-r2023b-cuda-12.2-cudnn8:latest (ubuntu 22.04) (ubuntu)

Java (jar)

Node.js (node-pkg)

Python (python-pkg)

opt/matlab/R2023b/bin/glnxa64/mwdocsearch (gobinary)

usr/sbin/ipp-usb (gobinary)

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Docker拉取命令无权限下载?点我修复

docker pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/jockerdragon/matlab-r2023b-cuda-12.2-cudnn8:latest
docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/jockerdragon/matlab-r2023b-cuda-12.2-cudnn8:latest  docker.io/jockerdragon/matlab-r2023b-cuda-12.2-cudnn8:latest

Containerd拉取命令

ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/jockerdragon/matlab-r2023b-cuda-12.2-cudnn8:latest
ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/jockerdragon/matlab-r2023b-cuda-12.2-cudnn8:latest  docker.io/jockerdragon/matlab-r2023b-cuda-12.2-cudnn8:latest

Shell快速替换命令

sed -i 's#jockerdragon/matlab-r2023b-cuda-12.2-cudnn8:latest#swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/jockerdragon/matlab-r2023b-cuda-12.2-cudnn8:latest#' deployment.yaml

Ansible快速分发-Docker

#ansible k8s -m shell -a 'docker pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/jockerdragon/matlab-r2023b-cuda-12.2-cudnn8:latest && docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/jockerdragon/matlab-r2023b-cuda-12.2-cudnn8:latest  docker.io/jockerdragon/matlab-r2023b-cuda-12.2-cudnn8:latest'

Ansible快速分发-Containerd

#ansible k8s -m shell -a 'ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/jockerdragon/matlab-r2023b-cuda-12.2-cudnn8:latest && ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/jockerdragon/matlab-r2023b-cuda-12.2-cudnn8:latest  docker.io/jockerdragon/matlab-r2023b-cuda-12.2-cudnn8:latest'

镜像构建历史


# 2024-06-07 21:25:06  0.00B 指定运行容器时使用的用户
USER matlab
                        
# 2024-06-07 21:25:06  2.38GB 执行命令并创建新的镜像层
RUN /bin/sh -c apt-get update && apt-get install -y --no-install-recommends     ${NV_CUDNN_PACKAGE}     ${NV_CUDNN_PACKAGE_DEV}     && apt-mark hold ${NV_CUDNN_PACKAGE_NAME}     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2024-06-07 21:21:42  0.00B 添加元数据标签
LABEL com.nvidia.cudnn.version=8.9.6.50
                        
# 2024-06-07 21:21:42  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2024-06-07 21:21:42  0.00B 设置环境变量 NV_CUDNN_PACKAGE_DEV
ENV NV_CUDNN_PACKAGE_DEV=libcudnn8-dev=8.9.6.50-1+cuda12.2
                        
# 2024-06-07 21:21:42  0.00B 设置环境变量 NV_CUDNN_PACKAGE
ENV NV_CUDNN_PACKAGE=libcudnn8=8.9.6.50-1+cuda12.2
                        
# 2024-06-07 21:21:42  0.00B 设置环境变量 NV_CUDNN_PACKAGE_NAME
ENV NV_CUDNN_PACKAGE_NAME=libcudnn8
                        
# 2024-06-07 21:21:42  0.00B 设置环境变量 NV_CUDNN_VERSION
ENV NV_CUDNN_VERSION=8.9.6.50
                        
# 2024-06-07 21:21:42  0.00B 设置环境变量 LIBRARY_PATH
ENV LIBRARY_PATH=/usr/local/cuda/lib64/stubs
                        
# 2024-06-07 21:21:42  1.39MB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c apt-mark hold ${NV_LIBCUBLAS_DEV_PACKAGE_NAME} ${NV_LIBNCCL_DEV_PACKAGE_NAME} # buildkit
                        
# 2024-06-07 21:21:41  4.52GB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends     cuda-cudart-dev-12-2=${NV_CUDA_CUDART_DEV_VERSION}     cuda-command-line-tools-12-2=${NV_CUDA_LIB_VERSION}     cuda-minimal-build-12-2=${NV_CUDA_LIB_VERSION}     cuda-libraries-dev-12-2=${NV_CUDA_LIB_VERSION}     cuda-nvml-dev-12-2=${NV_NVML_DEV_VERSION}     ${NV_NVPROF_DEV_PACKAGE}     ${NV_LIBNPP_DEV_PACKAGE}     libcusparse-dev-12-2=${NV_LIBCUSPARSE_DEV_VERSION}     ${NV_LIBCUBLAS_DEV_PACKAGE}     ${NV_LIBNCCL_DEV_PACKAGE}     ${NV_CUDA_NSIGHT_COMPUTE_DEV_PACKAGE}     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2024-06-07 21:17:41  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2024-06-07 21:17:41  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2024-06-07 21:17:41  0.00B 设置环境变量 NV_LIBNCCL_DEV_PACKAGE
ENV NV_LIBNCCL_DEV_PACKAGE=libnccl-dev=2.19.3-1+cuda12.2
                        
# 2024-06-07 21:17:41  0.00B 设置环境变量 NCCL_VERSION
ENV NCCL_VERSION=2.19.3-1
                        
# 2024-06-07 21:17:41  0.00B 设置环境变量 NV_LIBNCCL_DEV_PACKAGE_VERSION
ENV NV_LIBNCCL_DEV_PACKAGE_VERSION=2.19.3-1
                        
# 2024-06-07 21:17:41  0.00B 设置环境变量 NV_LIBNCCL_DEV_PACKAGE_NAME
ENV NV_LIBNCCL_DEV_PACKAGE_NAME=libnccl-dev
                        
# 2024-06-07 21:17:41  0.00B 设置环境变量 NV_NVPROF_DEV_PACKAGE
ENV NV_NVPROF_DEV_PACKAGE=cuda-nvprof-12-2=12.2.142-1
                        
# 2024-06-07 21:17:41  0.00B 设置环境变量 NV_NVPROF_VERSION
ENV NV_NVPROF_VERSION=12.2.142-1
                        
# 2024-06-07 21:17:41  0.00B 设置环境变量 NV_CUDA_NSIGHT_COMPUTE_DEV_PACKAGE
ENV NV_CUDA_NSIGHT_COMPUTE_DEV_PACKAGE=cuda-nsight-compute-12-2=12.2.2-1
                        
# 2024-06-07 21:17:41  0.00B 设置环境变量 NV_CUDA_NSIGHT_COMPUTE_VERSION
ENV NV_CUDA_NSIGHT_COMPUTE_VERSION=12.2.2-1
                        
# 2024-06-07 21:17:41  0.00B 设置环境变量 NV_LIBCUBLAS_DEV_PACKAGE
ENV NV_LIBCUBLAS_DEV_PACKAGE=libcublas-dev-12-2=12.2.5.6-1
                        
# 2024-06-07 21:17:41  0.00B 设置环境变量 NV_LIBCUBLAS_DEV_PACKAGE_NAME
ENV NV_LIBCUBLAS_DEV_PACKAGE_NAME=libcublas-dev-12-2
                        
# 2024-06-07 21:17:41  0.00B 设置环境变量 NV_LIBCUBLAS_DEV_VERSION
ENV NV_LIBCUBLAS_DEV_VERSION=12.2.5.6-1
                        
# 2024-06-07 21:17:41  0.00B 设置环境变量 NV_LIBNPP_DEV_PACKAGE
ENV NV_LIBNPP_DEV_PACKAGE=libnpp-dev-12-2=12.2.1.4-1
                        
# 2024-06-07 21:17:41  0.00B 设置环境变量 NV_LIBNPP_DEV_VERSION
ENV NV_LIBNPP_DEV_VERSION=12.2.1.4-1
                        
# 2024-06-07 21:17:41  0.00B 设置环境变量 NV_LIBCUSPARSE_DEV_VERSION
ENV NV_LIBCUSPARSE_DEV_VERSION=12.1.2.141-1
                        
# 2024-06-07 21:17:41  0.00B 设置环境变量 NV_NVML_DEV_VERSION
ENV NV_NVML_DEV_VERSION=12.2.140-1
                        
# 2024-06-07 21:17:41  0.00B 设置环境变量 NV_CUDA_CUDART_DEV_VERSION
ENV NV_CUDA_CUDART_DEV_VERSION=12.2.140-1
                        
# 2024-06-07 21:17:41  0.00B 设置环境变量 NV_CUDA_LIB_VERSION
ENV NV_CUDA_LIB_VERSION=12.2.2-1
                        
# 2024-06-07 21:17:41  0.00B 设置环境变量 NVIDIA_PRODUCT_NAME
ENV NVIDIA_PRODUCT_NAME=CUDA
                        
# 2024-06-07 21:17:41  2.53KB 复制新文件或目录到容器中
COPY nvidia_entrypoint.sh /opt/nvidia/ # buildkit
                        
# 2024-06-07 21:17:41  3.06KB 复制新文件或目录到容器中
COPY entrypoint.d/ /opt/nvidia/entrypoint.d/ # buildkit
                        
# 2024-06-07 21:17:40  1.36MB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c apt-mark hold ${NV_LIBCUBLAS_PACKAGE_NAME} ${NV_LIBNCCL_PACKAGE_NAME} # buildkit
                        
# 2024-06-07 21:17:40  1.95GB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends     cuda-libraries-12-2=${NV_CUDA_LIB_VERSION}     ${NV_LIBNPP_PACKAGE}     cuda-nvtx-12-2=${NV_NVTX_VERSION}     libcusparse-12-2=${NV_LIBCUSPARSE_VERSION}     ${NV_LIBCUBLAS_PACKAGE}     ${NV_LIBNCCL_PACKAGE}     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2024-06-07 21:01:46  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2024-06-07 21:01:46  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2024-06-07 21:01:46  0.00B 设置环境变量 NV_LIBNCCL_PACKAGE
ENV NV_LIBNCCL_PACKAGE=libnccl2=2.19.3-1+cuda12.2
                        
# 2024-06-07 21:01:46  0.00B 设置环境变量 NCCL_VERSION
ENV NCCL_VERSION=2.19.3-1
                        
# 2024-06-07 21:01:46  0.00B 设置环境变量 NV_LIBNCCL_PACKAGE_VERSION
ENV NV_LIBNCCL_PACKAGE_VERSION=2.19.3-1
                        
# 2024-06-07 21:01:46  0.00B 设置环境变量 NV_LIBNCCL_PACKAGE_NAME
ENV NV_LIBNCCL_PACKAGE_NAME=libnccl2
                        
# 2024-06-07 21:01:46  0.00B 设置环境变量 NV_LIBCUBLAS_PACKAGE
ENV NV_LIBCUBLAS_PACKAGE=libcublas-12-2=12.2.5.6-1
                        
# 2024-06-07 21:01:46  0.00B 设置环境变量 NV_LIBCUBLAS_VERSION
ENV NV_LIBCUBLAS_VERSION=12.2.5.6-1
                        
# 2024-06-07 21:01:46  0.00B 设置环境变量 NV_LIBCUBLAS_PACKAGE_NAME
ENV NV_LIBCUBLAS_PACKAGE_NAME=libcublas-12-2
                        
# 2024-06-07 21:01:46  0.00B 设置环境变量 NV_LIBCUSPARSE_VERSION
ENV NV_LIBCUSPARSE_VERSION=12.1.2.141-1
                        
# 2024-06-07 21:01:46  0.00B 设置环境变量 NV_LIBNPP_PACKAGE
ENV NV_LIBNPP_PACKAGE=libnpp-12-2=12.2.1.4-1
                        
# 2024-06-07 21:01:46  0.00B 设置环境变量 NV_LIBNPP_VERSION
ENV NV_LIBNPP_VERSION=12.2.1.4-1
                        
# 2024-06-07 21:01:46  0.00B 设置环境变量 NV_NVTX_VERSION
ENV NV_NVTX_VERSION=12.2.140-1
                        
# 2024-06-07 21:01:46  0.00B 设置环境变量 NV_CUDA_LIB_VERSION
ENV NV_CUDA_LIB_VERSION=12.2.2-1
                        
# 2024-06-07 21:01:46  0.00B 设置环境变量 NVIDIA_DRIVER_CAPABILITIES
ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility
                        
# 2024-06-07 21:01:46  0.00B 设置环境变量 NVIDIA_VISIBLE_DEVICES
ENV NVIDIA_VISIBLE_DEVICES=all
                        
# 2024-06-07 21:01:46  17.29KB 复制新文件或目录到容器中
COPY NGC-DL-CONTAINER-LICENSE / # buildkit
                        
# 2024-06-07 21:01:46  0.00B 设置环境变量 LD_LIBRARY_PATH
ENV LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64
                        
# 2024-06-07 21:01:46  0.00B 设置环境变量 PATH
ENV PATH=/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
                        
# 2024-06-07 21:01:46  46.00B 执行命令并创建新的镜像层
RUN /bin/sh -c echo "/usr/local/nvidia/lib" >> /etc/ld.so.conf.d/nvidia.conf     && echo "/usr/local/nvidia/lib64" >> /etc/ld.so.conf.d/nvidia.conf # buildkit
                        
# 2024-06-07 21:01:46  153.75MB 执行命令并创建新的镜像层
RUN /bin/sh -c apt-get update && apt-get install -y --no-install-recommends     cuda-cudart-12-2=${NV_CUDA_CUDART_VERSION}     ${NV_CUDA_COMPAT_PACKAGE}     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2024-06-07 21:01:28  0.00B 设置环境变量 CUDA_VERSION
ENV CUDA_VERSION=12.2.2
                        
# 2024-06-07 21:01:28  3.67MB 执行命令并创建新的镜像层
RUN /bin/sh -c apt-get update && apt-get install -y --no-install-recommends     gnupg2 curl ca-certificates &&     curl -fsSLO https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2204/x86_64/cuda-keyring_1.0-1_all.deb &&     dpkg -i cuda-keyring_1.0-1_all.deb &&     apt-get purge --autoremove -y curl     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2024-06-07 21:01:28  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2024-06-07 21:01:28  0.00B 设置环境变量 NV_CUDA_COMPAT_PACKAGE
ENV NV_CUDA_COMPAT_PACKAGE=cuda-compat-12-2
                        
# 2024-06-07 21:01:28  0.00B 设置环境变量 NV_CUDA_CUDART_VERSION
ENV NV_CUDA_CUDART_VERSION=12.2.140-1
                        
# 2024-06-07 21:01:28  0.00B 设置环境变量 NVIDIA_REQUIRE_CUDA brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand
ENV NVIDIA_REQUIRE_CUDA=cuda>=12.2 brand=tesla,driver>=470,driver<471 brand=unknown,driver>=470,driver<471 brand=nvidia,driver>=470,driver<471 brand=nvidiartx,driver>=470,driver<471 brand=geforce,driver>=470,driver<471 brand=geforcertx,driver>=470,driver<471 brand=quadro,driver>=470,driver<471 brand=quadrortx,driver>=470,driver<471 brand=titan,driver>=470,driver<471 brand=titanrtx,driver>=470,driver<471 brand=tesla,driver>=525,driver<526 brand=unknown,driver>=525,driver<526 brand=nvidia,driver>=525,driver<526 brand=nvidiartx,driver>=525,driver<526 brand=geforce,driver>=525,driver<526 brand=geforcertx,driver>=525,driver<526 brand=quadro,driver>=525,driver<526 brand=quadrortx,driver>=525,driver<526 brand=titan,driver>=525,driver<526 brand=titanrtx,driver>=525,driver<526
                        
# 2024-06-07 21:01:28  0.00B 设置环境变量 NVARCH
ENV NVARCH=x86_64
                        
# 2024-06-07 21:01:28  0.00B 指定运行容器时使用的用户
USER root
                        
# 2024-05-07 13:10:48  0.00B 
/bin/sh -c #(nop)  CMD []
                        
# 2024-05-07 13:10:47  0.00B 
/bin/sh -c #(nop)  ENTRYPOINT ["/bin/run.sh"]
                        
# 2024-05-07 13:10:47  0.00B 
/bin/sh -c #(nop) WORKDIR /home/matlab/Documents/MATLAB/
                        
# 2024-05-07 13:10:47  0.00B 
/bin/sh -c #(nop)  ENV MHLM_CONTEXT=MATLAB_DOCKERHUB
                        
# 2024-05-07 13:10:47  0.00B 
/bin/sh -c #(nop)  ENV MW_DDUX_FORCE_ENABLE=true MW_CONTEXT_TAGS=MATLAB:DOCKERHUB:V1
                        
# 2024-05-07 13:10:47  8.00B 
|7 DEFAULT_VNC_PASSWORD=matlab HOME=/home/matlab MATLAB_ROOT=/opt/matlab/R2023b MATLAB_VERSION=R2023b MSH_ROOT=/opt/MathWorks/ServiceHost NOVNC=/opt/noVNC PCIM_MATLAB_ROOT=/usr/share/matlab /bin/sh -c printf "${DEFAULT_VNC_PASSWORD}\n${DEFAULT_VNC_PASSWORD}\n\n" | vncpasswd
                        
# 2024-05-07 13:10:46  0.00B 
/bin/sh -c #(nop)  ARG DEFAULT_VNC_PASSWORD=matlab
                        
# 2024-05-07 13:10:46  0.00B 
/bin/sh -c #(nop)  USER matlab
                        
# 2024-05-07 13:10:46  0.00B 
/bin/sh -c #(nop)  EXPOSE 8888 5901 6080
                        
# 2024-05-07 13:10:46  0.00B 
/bin/sh -c #(nop)  ENV MWI_APP_PORT=8888
                        
# 2024-05-07 13:10:46  137.00B 
/bin/sh -c #(nop) ADD file:25fba5e55447673da409e6b0029f499eecd6c3d619b07b6c1737699133465dfb in /opt/noVNC/redirect.html 
                        
# 2024-05-07 13:10:46  1.19KB 
|6 HOME=/home/matlab MATLAB_ROOT=/opt/matlab/R2023b MATLAB_VERSION=R2023b MSH_ROOT=/opt/MathWorks/ServiceHost NOVNC=/opt/noVNC PCIM_MATLAB_ROOT=/usr/share/matlab /bin/sh -c chmod +x    /bin/run.sh &&     ln -s ${MATLAB_ROOT}/bin/matlab /usr/local/bin/matlab
                        
# 2024-05-07 13:10:45  0.00B 
/bin/sh -c #(nop)  ENV MW_MLSERVICES_MODE=dev MW_MLSERVICES_DEV_REALM_ID=companion@prod@production MW_MLSERVICES_ROOT=/opt/MathWorks/ServiceHost
                        
# 2024-05-07 13:10:45  351.00B 
/bin/sh -c #(nop) ADD file:80ff8f0da1cda38b633d3fe555caa12a34223a6c602e3e5e3f632f087edf8d9d in /home/matlab/Documents/MATLAB/ 
                        
# 2024-05-07 13:10:45  1.42KB 
/bin/sh -c #(nop) ADD file:fa1e69b8d123597522bd6d6823865e50f6be89cb3fec530686b7f2ea67cd794d in /etc/browser_readme 
                        
# 2024-05-07 13:10:44  1.15KB 
/bin/sh -c #(nop) ADD file:5f6d41d1e4c5ba40a198584a4753533ae4a05632f645aa9b54efd8064e0f27ec in /etc/vnc_readme 
                        
# 2024-05-07 13:10:44  1.15KB 
/bin/sh -c #(nop) ADD file:f5ac6df636463268b0562920738ee315d7e4b2eb9f06b98fd564874c4cd7f460 in /etc/help_readme 
                        
# 2024-05-07 13:10:44  707.00B 
/bin/sh -c #(nop) ADD file:186bfff0da99defc736c03f7811c0b47aedcd042aeaabf8d428b27ef55c82452 in /etc/welcome_readme 
                        
# 2024-05-07 13:10:44  11.13KB 
/bin/sh -c #(nop) ADD file:c0a5ed8f6b7e1d0963e774068876bec138eb73cfab6576f78157cdceb1686211 in /bin/utils.sh 
                        
# 2024-05-07 13:10:44  1.16KB 
/bin/sh -c #(nop) ADD file:351fa45cfbdc535b5e73216c103d5ab99a8f1bd07f0745141dff2dce4df9189d in /bin/run.sh 
                        
# 2024-05-07 13:10:44  209.00B 
/bin/sh -c #(nop) ADD file:6c112e6b54c3332e64d487209d0e589729a9627568c4542e27ed42913f707e34 in /etc/sudoers.d/ 
                        
# 2024-05-07 13:10:44  8.01MB 
|6 HOME=/home/matlab MATLAB_ROOT=/opt/matlab/R2023b MATLAB_VERSION=R2023b MSH_ROOT=/opt/MathWorks/ServiceHost NOVNC=/opt/noVNC PCIM_MATLAB_ROOT=/usr/share/matlab /bin/sh -c chmod +x     ${HOME}/.vnc/xstartup &&     chmod u+w    ${HOME}/Desktop/MATLAB.desktop &&     chmod u+w    ${HOME}/.matlab/${MATLAB_VERSION}/matlab.prf &&     chmod +x     ${HOME}/Desktop/MATLAB.desktop &&     touch        ${HOME}/.Xauthority &&     chown -R matlab:matlab ${HOME}
                        
# 2024-05-07 13:10:43  12.00B 
/bin/sh -c #(nop) ADD file:1653f2e063256c0412870dabd07cb1d85fa7e1efd9df65d1ff105fd69820289a in /home/matlab/.xscreensaver 
                        
# 2024-05-07 13:10:42  482.00B 
/bin/sh -c #(nop) ADD file:33009becd034e70447caa8a71ceaa40e1dd38c189fb0ca1d10509122c5d681d0 in /home/matlab/.matlab/R2023b/ 
                        
# 2024-05-07 13:10:42  980.33KB 
/bin/sh -c #(nop) ADD dir:f0f45f5a133cced8542113df06363fa90eeed595a845b461fad7df503c757803 in /home/matlab/.config/xfce4/ 
                        
# 2024-05-07 13:10:42  256.00B 
/bin/sh -c #(nop) ADD file:54e49ee764485b568a95e59047c10bf61f70e03271b4b94e415a341eeea2ad9c in /home/matlab/Desktop/ 
                        
# 2024-05-07 13:10:42  758.00B 
/bin/sh -c #(nop) ADD file:7783db32fd2d1f28463014d0c1d9ba3875152d1690e9dbeb3137c74ba0061165 in /home/matlab/.vnc/ 
                        
# 2024-05-07 13:10:42  6.04MB 
|6 HOME=/home/matlab MATLAB_ROOT=/opt/matlab/R2023b MATLAB_VERSION=R2023b MSH_ROOT=/opt/MathWorks/ServiceHost NOVNC=/opt/noVNC PCIM_MATLAB_ROOT=/usr/share/matlab /bin/sh -c mkdir -p ${NOVNC}/utils/websockify &&     curl -sSfL 'https://github.com/novnc/noVNC/archive/v1.2.0.tar.gz' | tar -zxf - -C ${NOVNC} --strip=1 &&     curl -sSfL 'https://github.com/novnc/websockify/archive/v0.10.0.tar.gz' | tar -zxf - -C ${NOVNC}/utils/websockify --strip=1 &&     find ${NOVNC} -name ".git*" | xargs rm -rf &&     ln -s /usr/bin/python3 /usr/bin/python &&     ln -s $NOVNC/vnc.html $NOVNC/index.html
                        
# 2024-05-07 13:10:40  0.00B 
/bin/sh -c #(nop)  ARG NOVNC=/opt/noVNC
                        
# 2024-05-07 13:10:40  33.33MB 
|5 HOME=/home/matlab MATLAB_ROOT=/opt/matlab/R2023b MATLAB_VERSION=R2023b MSH_ROOT=/opt/MathWorks/ServiceHost PCIM_MATLAB_ROOT=/usr/share/matlab /bin/sh -c mkdir -p ${HOME}/Documents/MATLAB/Add-Ons &&     touch ${HOME}/Documents/MATLAB/Add-Ons/.toolboxFolders &&     touch ${HOME}/Documents/MATLAB/Add-Ons/.zipFolders &&     python3 -m pip install --upgrade pip &&     python3 -m pip install matlab-proxy
                        
# 2024-05-07 13:10:31  718.52MB 
|5 HOME=/home/matlab MATLAB_ROOT=/opt/matlab/R2023b MATLAB_VERSION=R2023b MSH_ROOT=/opt/MathWorks/ServiceHost PCIM_MATLAB_ROOT=/usr/share/matlab /bin/sh -c export DEBIAN_FRONTEND=noninteractive && apt-get update && apt-get install --yes         apt-utils         libglu1-mesa         libosmesa6         xterm         tigervnc-standalone-server         tigervnc-common         xfce4         xscreensaver         ca-certificates         sudo         curl         python3         python3-pip         xvfb     && apt-get remove -y             tumbler             pulseaudio             gvfs             gnome-screensaver     && apt-get clean     && apt-get -y autoremove     && rm -rf /var/lib/apt/lists/*
                        
# 2024-05-07 13:07:50  570.57MB 
/bin/sh -c #(nop) COPY dir:82696432decfe3bde7e841ebf5baec38bf7bf91618cdf0d1a71b5708b40b3b11 in /opt/MathWorks/ServiceHost 
                        
# 2024-05-07 13:07:25  3.78GB 
/bin/sh -c #(nop) COPY dir:46d90ff184a13c6e4c1db10fa69966836a349ee549fef35fa6fc0599a466ba19 in /opt/matlab/R2023b 
                        
# 2024-05-07 13:02:21  334.79KB 
|5 HOME=/home/matlab MATLAB_ROOT=/opt/matlab/R2023b MATLAB_VERSION=R2023b MSH_ROOT=/opt/MathWorks/ServiceHost PCIM_MATLAB_ROOT=/usr/share/matlab /bin/sh -c adduser --home ${HOME} --shell /bin/bash --disabled-password --gecos "" matlab
                        
# 2024-05-07 13:02:20  0.00B 
/bin/sh -c #(nop)  ARG HOME=/home/matlab
                        
# 2024-05-07 13:02:20  0.00B 
/bin/sh -c #(nop)  ARG MATLAB_ROOT=/opt/matlab/R2023b
                        
# 2024-05-07 13:02:20  0.00B 
/bin/sh -c #(nop)  ARG MSH_ROOT
                        
# 2024-05-07 13:02:20  0.00B 
/bin/sh -c #(nop)  ARG PCIM_MATLAB_ROOT
                        
# 2024-05-07 13:02:20  0.00B 
/bin/sh -c #(nop)  ARG MATLAB_VERSION
                        
# 2023-08-30 02:29:01  0.00B 
/bin/sh -c #(nop) WORKDIR /
                        
# 2023-08-30 02:29:01  0.00B 
/bin/sh -c [ -d /usr/share/X11/xkb ] || mkdir -p /usr/share/X11/xkb
                        
# 2023-08-30 02:28:59  542.61MB 
/bin/sh -c apt-get update && apt-get install --no-install-recommends -y `cat /tmp/base-dependencies.txt`     && apt-get clean && apt-get -y autoremove && rm -rf /var/lib/apt/lists/*
                        
# 2023-08-30 02:28:09  500.00B 
/bin/sh -c #(nop) COPY file:2a2c4188feb4173366ea11c8f9fed6dd7b25197dc703ddc2cf2107a75529c5cc in /tmp/base-dependencies.txt 
                        
# 2023-08-30 02:28:09  0.00B 
/bin/sh -c #(nop)  ENV DEBIAN_FRONTEND=noninteractive TZ=Etc/UTC
                        
# 2023-08-30 02:28:08  0.00B 
/bin/sh -c #(nop)  LABEL maintainer=The MathWorks
                        
# 2023-08-04 12:53:00  0.00B 
/bin/sh -c #(nop)  CMD ["/bin/bash"]
                        
# 2023-08-04 12:52:59  77.82MB 
/bin/sh -c #(nop) ADD file:bb1fa1d9d012ae826908afdce8c9fa2feebf221b2ab032e1535255905144411a in / 
                        
# 2023-08-04 12:52:58  0.00B 
/bin/sh -c #(nop)  LABEL org.opencontainers.image.version=22.04
                        
# 2023-08-04 12:52:58  0.00B 
/bin/sh -c #(nop)  LABEL org.opencontainers.image.ref.name=ubuntu
                        
# 2023-08-04 12:52:57  0.00B 
/bin/sh -c #(nop)  ARG LAUNCHPAD_BUILD_ARCH
                        
# 2023-08-04 12:52:57  0.00B 
/bin/sh -c #(nop)  ARG RELEASE

镜像信息

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    "Created": "2024-06-07T21:25:06.615774654+08:00",
    "Container": "",
    "ContainerConfig": null,
    "DockerVersion": "",
    "Author": "",
    "Config": {
        "Hostname": "",
        "Domainname": "",
        "User": "matlab",
        "AttachStdin": false,
        "AttachStdout": false,
        "AttachStderr": false,
        "ExposedPorts": {
            "5901/tcp": {},
            "6080/tcp": {},
            "8888/tcp": {}
        },
        "Tty": false,
        "OpenStdin": false,
        "StdinOnce": false,
        "Env": [
            "PATH=/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin",
            "DEBIAN_FRONTEND=noninteractive",
            "TZ=Etc/UTC",
            "MW_MLSERVICES_MODE=dev",
            "MW_MLSERVICES_DEV_REALM_ID=companion@prod@production",
            "MW_MLSERVICES_ROOT=/opt/MathWorks/ServiceHost",
            "MWI_APP_PORT=8888",
            "MW_DDUX_FORCE_ENABLE=true",
            "MW_CONTEXT_TAGS=MATLAB:DOCKERHUB:V1",
            "MHLM_CONTEXT=MATLAB_DOCKERHUB",
            "NVARCH=x86_64",
            "NVIDIA_REQUIRE_CUDA=cuda\u003e=12.2 brand=tesla,driver\u003e=470,driver\u003c471 brand=unknown,driver\u003e=470,driver\u003c471 brand=nvidia,driver\u003e=470,driver\u003c471 brand=nvidiartx,driver\u003e=470,driver\u003c471 brand=geforce,driver\u003e=470,driver\u003c471 brand=geforcertx,driver\u003e=470,driver\u003c471 brand=quadro,driver\u003e=470,driver\u003c471 brand=quadrortx,driver\u003e=470,driver\u003c471 brand=titan,driver\u003e=470,driver\u003c471 brand=titanrtx,driver\u003e=470,driver\u003c471 brand=tesla,driver\u003e=525,driver\u003c526 brand=unknown,driver\u003e=525,driver\u003c526 brand=nvidia,driver\u003e=525,driver\u003c526 brand=nvidiartx,driver\u003e=525,driver\u003c526 brand=geforce,driver\u003e=525,driver\u003c526 brand=geforcertx,driver\u003e=525,driver\u003c526 brand=quadro,driver\u003e=525,driver\u003c526 brand=quadrortx,driver\u003e=525,driver\u003c526 brand=titan,driver\u003e=525,driver\u003c526 brand=titanrtx,driver\u003e=525,driver\u003c526",
            "NV_CUDA_CUDART_VERSION=12.2.140-1",
            "NV_CUDA_COMPAT_PACKAGE=cuda-compat-12-2",
            "CUDA_VERSION=12.2.2",
            "LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64",
            "NVIDIA_VISIBLE_DEVICES=all",
            "NVIDIA_DRIVER_CAPABILITIES=compute,utility",
            "NV_CUDA_LIB_VERSION=12.2.2-1",
            "NV_NVTX_VERSION=12.2.140-1",
            "NV_LIBNPP_VERSION=12.2.1.4-1",
            "NV_LIBNPP_PACKAGE=libnpp-12-2=12.2.1.4-1",
            "NV_LIBCUSPARSE_VERSION=12.1.2.141-1",
            "NV_LIBCUBLAS_PACKAGE_NAME=libcublas-12-2",
            "NV_LIBCUBLAS_VERSION=12.2.5.6-1",
            "NV_LIBCUBLAS_PACKAGE=libcublas-12-2=12.2.5.6-1",
            "NV_LIBNCCL_PACKAGE_NAME=libnccl2",
            "NV_LIBNCCL_PACKAGE_VERSION=2.19.3-1",
            "NCCL_VERSION=2.19.3-1",
            "NV_LIBNCCL_PACKAGE=libnccl2=2.19.3-1+cuda12.2",
            "NVIDIA_PRODUCT_NAME=CUDA",
            "NV_CUDA_CUDART_DEV_VERSION=12.2.140-1",
            "NV_NVML_DEV_VERSION=12.2.140-1",
            "NV_LIBCUSPARSE_DEV_VERSION=12.1.2.141-1",
            "NV_LIBNPP_DEV_VERSION=12.2.1.4-1",
            "NV_LIBNPP_DEV_PACKAGE=libnpp-dev-12-2=12.2.1.4-1",
            "NV_LIBCUBLAS_DEV_VERSION=12.2.5.6-1",
            "NV_LIBCUBLAS_DEV_PACKAGE_NAME=libcublas-dev-12-2",
            "NV_LIBCUBLAS_DEV_PACKAGE=libcublas-dev-12-2=12.2.5.6-1",
            "NV_CUDA_NSIGHT_COMPUTE_VERSION=12.2.2-1",
            "NV_CUDA_NSIGHT_COMPUTE_DEV_PACKAGE=cuda-nsight-compute-12-2=12.2.2-1",
            "NV_NVPROF_VERSION=12.2.142-1",
            "NV_NVPROF_DEV_PACKAGE=cuda-nvprof-12-2=12.2.142-1",
            "NV_LIBNCCL_DEV_PACKAGE_NAME=libnccl-dev",
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            "NV_LIBNCCL_DEV_PACKAGE=libnccl-dev=2.19.3-1+cuda12.2",
            "LIBRARY_PATH=/usr/local/cuda/lib64/stubs",
            "NV_CUDNN_VERSION=8.9.6.50",
            "NV_CUDNN_PACKAGE_NAME=libcudnn8",
            "NV_CUDNN_PACKAGE=libcudnn8=8.9.6.50-1+cuda12.2",
            "NV_CUDNN_PACKAGE_DEV=libcudnn8-dev=8.9.6.50-1+cuda12.2"
        ],
        "Cmd": null,
        "Image": "",
        "Volumes": null,
        "WorkingDir": "/home/matlab/Documents/MATLAB/",
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}

更多版本

docker.io/jockerdragon/matlab-r2023b-cuda-12.2-cudnn8:latest

linux/amd64 docker.io14.75GB2024-12-19 00:23

docker.io/jockerdragon/matlab-r2023b-cuda-12.2-cudnn8:latest linux/amd64

镜像安全扫描 查看Trivy扫描报告

镜像安全扫描查看Trivy扫描报告